Area V5—a microcosm of the visual brain
S Zeki - Frontiers in integrative neuroscience, 2015 - frontiersin.org
Area V5 of the visual brain, first identified anatomically in 1969 as a separate visual area, is
critical for the perception of visual motion. As one of the most intensively studied parts of the …
critical for the perception of visual motion. As one of the most intensively studied parts of the …
[HTML][HTML] What is neurorepresentationalism? From neural activity and predictive processing to multi-level representations and consciousness
CMA Pennartz - Behavioural brain research, 2022 - Elsevier
This review provides an update on Neurorepresentationalism, a theoretical framework that
defines conscious experience as multimodal, situational survey and explains its neural basis …
defines conscious experience as multimodal, situational survey and explains its neural basis …
Spatial frequency sensitivity in macaque midbrain
Visual brain areas exhibit tuning characteristics well suited for image statistics present in our
natural environment. However, visual sensation is an active process, and if there are any …
natural environment. However, visual sensation is an active process, and if there are any …
Beyond blindsight: properties of visual relearning in cortically blind fields
Damage to the primary visual cortex (V1) or its immediate afferents results in a dense
scotoma, termed cortical blindness (CB). CB subjects have residual visual abilities, or …
scotoma, termed cortical blindness (CB). CB subjects have residual visual abilities, or …
Functional preservation and enhanced capacity for visual restoration in subacute occipital stroke
Stroke damage to the primary visual cortex (V1) causes a loss of vision known as
hemianopia or cortically-induced blindness. While perimetric visual field improvements can …
hemianopia or cortically-induced blindness. While perimetric visual field improvements can …
Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues
Convolutional Neural Networks (CNN) are a class of machine learning models
predominately used in computer vision tasks and can achieve human-like performance …
predominately used in computer vision tasks and can achieve human-like performance …
A massively asynchronous, parallel brain
S Zeki - Philosophical Transactions of the Royal Society …, 2015 - royalsocietypublishing.org
Whether the visual brain uses a parallel or a serial, hierarchical, strategy to process visual
signals, the end result appears to be that different attributes of the visual scene are …
signals, the end result appears to be that different attributes of the visual scene are …
Who's afraid of response bias?
Response bias (or criterion) contamination is insidious in studies of consciousness: that
observers report they do not see a stimulus may not mean they have absolutely no …
observers report they do not see a stimulus may not mean they have absolutely no …
Is blindsight possible under signal detection theory? Comment on Phillips (2021).
Phillips argues that blindsight is due to response criterion artifacts under degraded
conscious vision. His view provides alternative explanations for some studies, but may not …
conscious vision. His view provides alternative explanations for some studies, but may not …
[LIBRO][B] The brain's representational power: on consciousness and the integration of modalities
CMA Pennartz - 2015 - books.google.com
A neuroscientifically informed theory arguing that the core of qualitative conscious
experience arises from the integration of sensory and cognitive modalities. Although science …
experience arises from the integration of sensory and cognitive modalities. Although science …